Abstract #3741

Brain Connectivity Network Dynamics Are Correlated with Cognitive Performance in Multiple Sclerosis

Sue-Jin Lin^1,2, Aiping Liu³, Alex MacKay^4,5, Brenda Kosaka⁶, Samantha Beveridge⁷, Irene Vavasour⁵, Anthony Traboulsee⁸, and Martin J McKeown^1,2,8

¹Graduate Program in Neuroscience, University of British Columbia, Vancouver, BC, Canada, ²Pacific Parkinson’s Research Centre, University of British Columbia Hospital, Vancouver, BC, Canada, ³Department of Electrical and Computer Engineering Program, University of British Columbia, Vancouver, BC, Canada, ⁴Department of Physics and Astronomy, University of British Columbia, Vancouver, BC, Canada, ⁵Department of Radiology, University of British Columbia Hospital, Vancouver, BC, Canada, ⁶Department of Psychiatry, University of British Columbia Hospital, Vancouver, BC, Canada, ⁷Graduate Program in Counselling Psychology, University of British Columbia, Vancouver, BC, Canada, ⁸Neurology, Faculty of Medicine, University of British Columbia, Vancouver, BC, Canada

Brain connectivity networks are usually estimated with the assumption that neural networks do not change over time. However, functional connectivity is inherently non-stationary, changing across time from seconds to minutes. In healthy subjects, dynamic reconfiguration of functional connectivity assessed by fMRI has been estimated and has been linked to cognitive tests, indicating that flexibility of connectivity normally contributes to cognitive performance. In this study, we applied a novel time-varying analysis to study network dynamics in healthy controls and subjects with Multiple Sclerosis (MS).

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